Location: Remote (DC/VA/MD Preferred)
Position Description:
This role blends hands-on software engineering, applied AI, cloud-native development, and integration of generative AI accelerators into mission systems.
Job Description:
- Design, develop, and deploy AI-enabled full stack applications that support document processing, intelligent search, generative AI use cases, and agentic workflows.
- Implement and integrate reusable AI accelerators such as RAG pipelines, model orchestration layers, hybrid search components, and structured data generation capabilities.
- Develop secure, cloud-native backend APIs and microservices (preferably AWS-based), data ingestion, and workflow automation.
- Collaborate with data scientists to train, fine-tune, or evaluate machine learning and LLM models implemented within client systems.
- Apply LLMOps best practices for model lifecycle, experimentation, telemetry, CI/CD, testing, and monitoring.
- Ensure solutions comply with client security requirements, federal accessibility standards, and responsible AI principles.
- Support rapid prototyping as well as hardening prototypes to production-grade systems aligned to client modernization initiatives (e.g., intelligent document management, NLP-driven search, cloud migration).
- Participate in sprint ceremonies, backlog refinement, and joint design sessions with product owners and technical leads.
- Produce documentation, architecture diagrams, and deployment artifacts.
Required Qualifications:
- Experience building full stack applications using frameworks such as React, Angular, or Vue; and backend frameworks such as Node.js, Python FastAPI, or Java Spring.
- Hands-on experience applying machine learning or LLM capabilities in production or near-production environments.
- Strong Python skills for AI workflows and API development.
- Experience with AWS services (e.g., Lambda, S3, ECS/EKS, API Gateway, CloudFormation/Terraform).
- Familiarity with vector search, embeddings, RAG architectures, or NLP/LLM-driven systems.
- Experience with DevOps tooling (GitLab/GitHub CI/CD, Docker, Kubernetes).
- Ability to work directly with clients, refine requirements, and deliver iterative prototypes quickly.
- Ability to successfully complete a Public Trust investigation
Security & Eligibility Requirements:
- Ability to obtain and maintain a U.S. Government security clearance
- Candidate must have lived in the United States for at least 3 years
Salary Range: $110,000–$123,000 annually. Actual compensation will be determined based on relevant experience, technical proficiency, job-related qualifications, and project requirements.
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